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Iris AI AS (Bærum, Norway)

Iris.ai

Norwegian AI platform that searches, summarises and extracts data from scientific literature and in-house R&D documents, including for life sciences.

Shared spot5of 13 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is held in the EU (2 points), whether there is a certification or GDPR guarantee (1) and whether the provider is established in the NL or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in pharmaceutical industry
GDPR: Limited
  • Provider based in the EU

Each block is a professional tool in pharmaceutical industry, the strongest GDPR profile on the left. 7 professional tools have a Limited profile, just like Iris.ai: they share this spot. Click for that tool.

Priceon request
Free trialNone foundNot found on the provider's site when checked on 3 November 2026
Based inBærum, NorwayEU
ModelNot publicnot public which models. Data stored with AWS in Ireland and Germany according to the privacy statement; data protection officer appointed.

Last checked: 3 November 2026 · How we check

Is this your tool? Fill in missing details

What it does

RSpace: R&D documents, papers, patents
Filter document sets beyond keywords
Facts automatically in one structure
Automatically follow new publications
Axion: structuring PDFs, tables and images
Schema templates per field
Output ready for RAG and AI agents
Neuralith: business knowledge as an AI engine

Comparable in pharmaceutical industry

All 13 professional tools for pharmaceutical industry

Iris.ai compared

Underlying model

not public which models. Data stored with AWS in Ireland and Germany according to the privacy statement; data protection officer appointed. Many tools build on a large model from providers such as OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.

GDPR check for pharmaceutical industry
Which AI model does Iris.ai use?
The maker of Iris.ai does not publish which AI model sits underneath. Which models. Data stored with AWS in Ireland and Germany according to the privacy statement; data protection officer appointed.
How much does Iris.ai cost?
on request. Check the current price on the provider's website; rates change often.
Who is Iris.ai for?
Iris.ai is aimed at the pharmaceutical industry and research & science. It fits work such as finding and optimising targets, proteins and candidate molecules with AI models, and setting up clinical studies: recruiting patients, capturing source data and monitoring data quality, and drafting regulatory documents (protocols, CSRs, dossiers) with traceable sources.
What should I look out for with AI in the pharmaceutical industry?
This sector involves health data of trial participants and patients (special category personal data under Article 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never goes to third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles.

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